data scientist

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analytical data scientist

DatascienceME

About the RoleWe are looking for a Data Scientist to analyze large datasets and build data-driven solutions that drive business decisions at Datascience. You will use machine learning, statistical analysis, and visualization techniques to uncover insights and improve our operations.Key Responsibilities<ul><li>Identify valuable data sources and automate data collection.</li><li>Clean, preprocess, and analyze structured and unstructured data.</li><li>Build predictive models and machine learning algorithms.</li><li>Visualize results using modern BI tools and dashboards.</li><li>Collaborate with cross-functional teams to translate data into actionable insights.</li><li>Recommend strategies to solve complex business problems.</li></ul>Requirements<ul><li>Proven experience as a Data Scientist or similar role.</li><li>Strong skills in Python, R, and SQL; familiarity with Scala, Java, or C++ is a plus.</li><li>Hands-on experience with machine learning, data mining, and statistical modeling.</li><li>Knowledge of Tableau, Power BI, or similar visualization tools.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).</li></ul>Why Join Us<ul><li>Work on real-world AI and data challenges.</li><li>Collaborative, innovative work environment.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you a Saudi national?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>

Data Scientist

atmaal

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 Data Scientist
 
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 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
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 Department
 
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 Digital (Advanced Analytics CoE)
 
 
 
 
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 Years of Experience
 
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 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
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 Key Responsibilities
 
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 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
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 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
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Emdad By Elm

<div>
 
 
 Job Description:
 
 
 
 The Data Scientist will play a pivotal role in transforming business objectives into actionable data-driven insights. This mid-career position demands a proactive individual equipped with strong analytical capabilities, programming proficiency, and a deep understanding of statistical modeling. The successful candidate will leverage large datasets to address complex business challenges, utilizing machine learning algorithms, data mining techniques, and predictive analytics. The candidate will also engage in cross-functional collaborations, presenting findings to stakeholders, and effectively communicating technical concepts to non-technical audiences. Continuous learning and adaptation to emerging technologies will be essential to enhance the organization's data analytics framework.
 
 
 
 
 
 
 Job Requirements:
 
 
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 3+ years in data science/analytics with large datasets.
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 Proficiency in Python/R/SQL; strong statistics and hypothesis testing.
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 Hands-on ML (classification/regression/clustering) with models deployed to production and iteratively improved.
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 Data visualization for decision-making (Tableau/Power BI/Matplotlib).
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 Strong communication skills for non-technical audiences.
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 Nice to have: Cloud (AWS/GCP/Azure) and/or Big Data (Hadoop/Spark).
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 Job Responsibilities:
 
 
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 Build ML models; run EDA to uncover patterns and anomalies.
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 Partner with Product/IT/Business to define analytics objectives.
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 Deliver interactive dashboards and KPIs for leadership.
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 Improve data capture quality; document methods and results.
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 Mentor junior team members; adopt emerging best practices.
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 Ensure data privacy/ethics and help evaluate analytics tools.
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 Required Skills:
 
 
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 Python/R with pandas, NumPy, scikit-learn.
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 SQL, database querying/extraction.
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 Deep learning frameworks (TensorFlow/Keras) for advanced use cases.
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 Basic project management: prioritization, timelines, deadlines.
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 High integrity and confidentiality with sensitive data.
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Capgemini Engineering

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 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 Your Role
 
 
 We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.
 
 
 
 Key Responsibilities Of This Role
 
 
 
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 Collect, clean, and preprocess structured and unstructured data from various sources.
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 Develop and implement statistical models, machine learning algorithms, and data mining techniques.
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 Perform exploratory data analysis to identify trends, patterns, and anomalies.
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 Translate business problems into analytical solutions and communicate findings effectively.
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 Collaborate with cross-functional teams to integrate data science solutions into business processes.
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 Create visualizations and dashboards to present insights to stakeholders.
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 Continuously monitor model performance and update models as needed.
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 Document methodologies, experiments, and results for reproducibility and knowledge sharing.
 
 
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 Your Profile
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
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 2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.
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 Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).
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 Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
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 Strong understanding of statistical analysis, predictive modeling, and data wrangling.
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 Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.
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 Excellent problem-solving and communication skills.
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 Experience with Agile/Scrum methodologies is a plus.
 
 
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 What You&rsquo;ll Love About Working Here
 
 
 
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 Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
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 Career Growth Opportunities&mdash;Access diverse roles and career development programs.
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 Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
 
 
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 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Qiam real estate

Senior Data Scientist &ndash; Full-time | Riyadh, Saudi ArabiaOverview: The Senior Data Scientist is responsible for collecting, processing, and analyzing large datasets to provide actionable insights that support data-driven decision-making. The role requires close collaboration with cross-functional teams to understand data needs, generate analytical reports, and enhance organizational strategy.Key Responsibilities<ul><li>Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.</li><li>Analyze large volumes of structured and unstructured data to identify trends, patterns, and insights.</li><li>Design and maintain dashboards and reports using tools such as Power BI, Tableau, etc.</li><li>Work with stakeholders to translate analytical findings into strategic recommendations.</li><li>Support business decisions using statistical analysis, forecasting, and modeling.</li><li>Build and maintain data pipelines and contribute to data governance and quality improvements.</li><li>Collaborate with Data Engineers and Data Scientists to ensure proper data architecture and integration.</li><li>Document methodologies, data sources, and business rules for future reference.</li><li>Develop automated reports and performance metrics to enhance operational efficiency.</li><li>Ensure compliance with data privacy regulations and internal data policies.</li></ul>Skills &amp; Competencies<ul><li>Strong proficiency in SQL and experience with relational databases (SQL Server, Oracle, PostgreSQL).</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, Looker).</li><li>Proficiency in Python or R for analysis and automation.</li><li>Strong understanding of data modeling, ETL processes, and data warehousing concepts.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Familiarity with cloud platforms (Azure, AWS, Google Cloud) is a plus.</li><li>Solid knowledge of statistics and application of statistical techniques in business contexts.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field.</li><li>Minimum 5 years experience as a Data Analyst or similar role.</li><li>Proven experience handling complex datasets and delivering insights that support decision-making.</li></ul>Preferred<ul><li>Experience in data governance and data quality management.</li><li>Exposure to machine learning or predictive analytics.</li><li>Certifications such as Power BI, Tableau, or Azure Data Analyst are an advantage.</li></ul>&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;&#1575;&#1604;&#1585;&#1575;&#1578;&#1576; &#1575;&#1604;&#1605;&#1583;&#1601;&#1608;&#1593;: &#65020;&#1634;&#1632;&#1644;&#1632;&#1632;&#1632;&#1643;&#1632;&#1632;&nbsp;&#1604;&#1603;&#1604; &#1588;&#1607;&#1585;&#1587;&#1572;&#1575;&#1604; (&#1571;&#1587;&#1574;&#1604;&#1577;) &#1591;&#1604;&#1576; &#1575;&#1604;&#1578;&#1602;&#1583;&#1605;:<ul><li>?What is your current salary</li><li>?What is your expected salary</li></ul>

Senior Data Scientist

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Senior Data Scientist